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@faun shared a link, 8 months ago
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Simplifying Large-Scale LLM Processing across Instacart with Maple

Instacart builtMaple, a backend brain for handling millions of LLM prompts—fast, cheap, and shared across teams. It’s not just another service. Maple runs onTemporal,PyArrow, andS3, strip-mines away provider-specific boilerplate, auto-batches prompts, retries failures, and slashes LLM costs by up t.. read more  

Simplifying Large-Scale LLM Processing across Instacart with Maple
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@laura_garcia shared a post, 8 months ago
Software Developer, RELIANOID

RELIANOID Load Balancer Community Edition v7 on AWS using Terraform

🚀 New Guide Available! Learn how to quickly deploy RELIANOID Load Balancer Community Edition v7 on AWS using Terraform. Our step-by-step article shows you how to provision everything automatically — from VPCs and subnets to EC2 and key pairs — in just minutes. 👉 https://www.relianoid.com/resources/k..

Knowledge base Deploy RELIANOID Load Balancer Community Edition v7 with Terraform on AWS
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Sandboxed to Compromised: New Research Exposes Credential Exfiltration Paths in AWS Code Interpreters

Researchers poked holes insandboxed Bedrock AgentCore code interpreters—and found a way to leak execution role credentials through theMicroVM Metadata Service (MMDS). No outside network? Doesn’t matter. The exploit dodges basic string filters in requests and lets non-agentic code swipe AWS creds to .. read more  

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Deploy a containerized application with Kamal and Terraform

A Docker-first workflow combinesTerraformandKamalinto a lean, Elastic Beanstalk-ish alternative—without the bloat. Terraform spins up a three-tier VPC and wires it toECR. Kamal takes it from there, booting containers on a raw EC2 box: app, proxy, monitor. One script. Done... read more  

Deploy a containerized application with Kamal and Terraform
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AWS, Microsoft and Google unite behind Linux Foundation DocumentDB database to cut enterprise costs and limit vendor lock-in

Document databases are crucial for AI apps in the gen AI era. Microsoft's open-source DocumentDB project, based on PostgreSQL, is moving to the Linux Foundation, offering a vendor-neutral, open-source alternative to MongoDB. DocumentDB's compatibility with MongoDB drivers and open source governance .. read more  

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Measuring Developer Productivity with Amazon Q Developer and Jellyfish

Amazon Q Developer now plugs into Jellyfish. Teams get a clearer view of how AI fits into the real flow of work—prompt usage, code adoption, PR throughput. Not just surface stats. The setup pipes data from AWS S3 straight into Jellyfish’s analytics engine. It tags AI users, tracks velocity gains, an.. read more  

Measuring Developer Productivity with Amazon Q Developer and Jellyfish
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Which LLM writes the best analytical SQL?

Tinybird threw 19 top LLMs at a 200M-row GitHub dataset, testing how well they could turn plain English into solid SQL. Most models kept their syntax clean—but when it came to writing SQL that actually ran well and returned the right results, they lagged behind human pros. Messy schemas or tricky pr.. read more  

Which LLM writes the best analytical SQL?
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Being on the Same Page During an Incident: Not Actually Telepathy

Collaboration in incident response is crucial for effective resolution, starting with establishing a basic compact among responders. Grounding is a process that ensures alignment and common ground is maintained throughout an incident, encompassing initial common ground, public events so far, and the.. read more  

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Building a Scalable, Flexible, Cloud-Native GenAI Platform with Open Source Solutions

A fresh reference architecture built withEnvoy AI GatewayandKServebrings order to the GenAI chaos. One clean interface to route requests across internal and external LLMs—locked down with policies. It’s called aTwo-Tier Gateway Architecture. Think of it like a split-brain: external API traffic goes.. read more  

Building a Scalable, Flexible, Cloud-Native GenAI Platform with Open Source Solutions
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v1.34: DRA has graduated to GA

Kubernetes 1.34 turnsDynamic Resource Allocation (DRA)loose into General Availability—enabled by default. That cements native support for high-maintenance gear like GPUs, FPGAs, and any other quirky hardware your workloads need. The release also packs a fresh mix of alpha/beta features: tighter admi.. read more  

Botkube is a Kubernetes-centric chatbot that aids in Kubernetes troubleshooting and provides valuable insights for various aspects of Kubernetes operations. This open-source tool integrates with popular messaging platforms like Slack and helps streamline Kubernetes management and problem-solving processes.

Key functionalities of Botkube include:

Alert Notifications: Botkube can be configured to receive and relay alerts from various monitoring tools (e.g., Prometheus, Grafana) directly to your team's communication platform, ensuring prompt incident awareness.

Kubernetes Event Monitoring: It continuously monitors Kubernetes cluster events, offering real-time information on changes and issues within your cluster, such as pod crashes or node failures.

Troubleshooting Assistance: Botkube can provide context-sensitive guidance and suggestions for debugging and resolving common Kubernetes problems, making it a valuable resource for both beginners and experienced Kubernetes users.

Resource Management: It can assist in resource optimization by providing recommendations for scaling deployments, managing resource quotas, and handling updates to your applications.

Security Insights: Botkube can help maintain Kubernetes security by alerting you to security breaches, unauthorized access, and vulnerabilities, allowing you to take immediate action.

Customization: Botkube is highly customizable, allowing you to tailor it to your specific needs and integrate it with other tools and scripts in your Kubernetes ecosystem.

In summary, Botkube serves as a Kubernetes assistant that enhances communication and awareness within your team while providing automated support for troubleshooting, monitoring, and managing your Kubernetes clusters, ultimately contributing to a more efficient and reliable Kubernetes operation.